Study on Operation Optimization Strategy of Charging Plant and Station Based on Dual Network Synergy

As the penetration rate of EVs (electric vehicles) increases, the demand for EVCS (electric vehicle charging stations) increases gradually, and there may be a situation that charging stations are difficult to operate due to a single profit model. In this paper, we propose a strategy to optimize the operation of charging stations under the synergy of road network and grid, with dynamic tariff adjustment as the mainly focus. First, a dynamic road network model is constructed and combined with Floyd’s algorithm to accurately simulate the driving path of EVs. Secondly, the EV users’ charging demand generation and charging selection model are combined to simulate the users’ decision psychology of charging selection, charging station operation and grid load distribution in time and space. Then, a dynamic tariff adjustment optimization model with user satisfaction as the influencing factor for charging station selection, grid quality as the constraint, and charging station revenue maximization as the goal is proposed. Finally, the effect of dynamic tariff on EV charging decision behavior, grid load level and charging station revenue is analyzed with actual traffic data as an example to verify the effectiveness of this paper’s model.